Hybrid AI Architecture Optimization

By the end of this lesson, you will be able to:

1. Design hybrid AI architectures that effectively combine multiple reasoning approaches
2. Analyze performance bottlenecks in traditional single-approach AI systems
3. Implement optimization strategies for maximizing throughput in hybrid models
4. Evaluate trade-offs between computational efficiency and reasoning capability
5. Apply hybrid architecture principles to real-world AI system design
6. Optimize resource allocation across different reasoning components